Privacy-Preserving Data Mining (PPDM) is a set of techniques aimed at extracting useful patterns from large datasets while ensuring that sensitive information remains confidential. It balances the dual goals of data utility and privacy, often employing methods like data anonymization, encryption, and differential privacy to protect individual data points.